Is the Critical Point (0,0) a Center in This Plane Dynamic System?

In summary, the conversation discusses the conditions for a critical point (0,0) to be a center in a plane dynamic system. The necessary conditions are that the eigenvalues of A should satisfy a certain equation and the matrix A at (0,0) should have specific properties. It is suggested to use the information that P(-x,y) = -P(x,y) and Q(-x,y) = Q(x,y) to find upper and lower bounds on the eigenvalues using matrix norm and measure of A.
  • #1
wu_weidong
32
0

Homework Statement


Consider the plane dynamic system [tex]\dot{x} = P(x,y), \dot{y} = Q(x,y)[/tex] with the condition that O(0,0) is a critical point. Suppose P(-x,y) = -P(x,y) and Q(-x,y) = Q(x,y). Is the critical point (0,0) a center? Why?

The Attempt at a Solution


I know that for (0,0) to be a centre, the eigenvalues of A should satisfy
[tex]\lambda_1 + \lambda_2 = tr(A) = 0, \lambda_1 \lambda_2 = det(A) > 0[/tex]

Also, the matrix A at (0,0) is
[tex]
\left[
\begin{array}\\
\frac{\partial P}{\partial x} & \frac{\partial P}{\partial y} \\
\frac{\partial Q}{\partial x} & \frac{\partial Q}{\partial y} \\
\end{array}
\right]
[/tex]

That's all I've got and I'm not sure how I can make use of the information P(-x,y) = -P(x,y) and Q(-x,y) = Q(x,y) other than that P is an odd function and Q is an even function.

Please help.

Thank you,
Rayne
 
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  • #2
It provides some hints if you try to find the upper and lower bounds on eigenvalues depending on matrix norm and matrix measure of A.
 

FAQ: Is the Critical Point (0,0) a Center in This Plane Dynamic System?

What is the purpose of determining critical points?

The purpose of determining critical points is to identify and analyze the behavior of a function. Critical points are locations where the slope of a function is zero, which can indicate maximum or minimum values, or points of inflection.

How do you find critical points?

To find critical points, you must first take the derivative of the function. Then, set the derivative equal to zero and solve for the variable. The resulting value(s) will be the critical point(s) of the function.

What information can be obtained from critical points?

Critical points can provide information about the behavior of a function, such as the location of maximum or minimum values, or points of inflection. They can also be used to determine the concavity of a function and the direction of the function's slope.

How do you determine if a critical point is a maximum, minimum, or point of inflection?

To determine the type of critical point, you can use the first or second derivative test. The first derivative test evaluates the sign of the derivative at the critical point, while the second derivative test evaluates the concavity of the function at the critical point. A positive second derivative indicates a minimum, a negative second derivative indicates a maximum, and a zero second derivative indicates a point of inflection.

Can a function have more than one critical point?

Yes, a function can have multiple critical points. These points can be used to analyze the overall behavior of the function and determine the locations of any maximum or minimum values.

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